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   <div id="projectname">Reranker Framework (ReFr)
   
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   <div id="projectbrief">Reranking framework for structure prediction and discriminative language modeling</div>
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<a href="mira-style-model_8_h.html">Go to the documentation of this file.</a><div class="fragment"><pre class="fragment"><a name="l00001"></a>00001 <span class="comment">// Copyright 2012, Google Inc.</span>
<a name="l00002"></a>00002 <span class="comment">// All rights reserved.</span>
<a name="l00003"></a>00003 <span class="comment">//</span>
<a name="l00004"></a>00004 <span class="comment">// Redistribution and use in source and binary forms, with or without</span>
<a name="l00005"></a>00005 <span class="comment">// modification, are permitted provided that the following conditions are</span>
<a name="l00006"></a>00006 <span class="comment">// met:</span>
<a name="l00007"></a>00007 <span class="comment">//</span>
<a name="l00008"></a>00008 <span class="comment">//   * Redistributions of source code must retain the above copyright</span>
<a name="l00009"></a>00009 <span class="comment">//     notice, this list of conditions and the following disclaimer.</span>
<a name="l00010"></a>00010 <span class="comment">//   * Redistributions in binary form must reproduce the above</span>
<a name="l00011"></a>00011 <span class="comment">//     copyright notice, this list of conditions and the following disclaimer</span>
<a name="l00012"></a>00012 <span class="comment">//     in the documentation and/or other materials provided with the</span>
<a name="l00013"></a>00013 <span class="comment">//     distribution.</span>
<a name="l00014"></a>00014 <span class="comment">//   * Neither the name of Google Inc. nor the names of its</span>
<a name="l00015"></a>00015 <span class="comment">//     contributors may be used to endorse or promote products derived from</span>
<a name="l00016"></a>00016 <span class="comment">//     this software without specific prior written permission.</span>
<a name="l00017"></a>00017 <span class="comment">//</span>
<a name="l00018"></a>00018 <span class="comment">// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS</span>
<a name="l00019"></a>00019 <span class="comment">// &quot;AS IS&quot; AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT</span>
<a name="l00020"></a>00020 <span class="comment">// LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR</span>
<a name="l00021"></a>00021 <span class="comment">// A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT</span>
<a name="l00022"></a>00022 <span class="comment">// OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,</span>
<a name="l00023"></a>00023 <span class="comment">// SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT</span>
<a name="l00024"></a>00024 <span class="comment">// LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,</span>
<a name="l00025"></a>00025 <span class="comment">// DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY</span>
<a name="l00026"></a>00026 <span class="comment">// THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT</span>
<a name="l00027"></a>00027 <span class="comment">// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE</span>
<a name="l00028"></a>00028 <span class="comment">// OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.</span>
<a name="l00029"></a>00029 <span class="comment">// -----------------------------------------------------------------------------</span>
<a name="l00030"></a>00030 <span class="comment">//</span>
<a name="l00034"></a>00034 <span class="comment"></span>
<a name="l00035"></a>00035 <span class="preprocessor">#ifndef RERANKER_MIRA_STYLE_MODEL_H_</span>
<a name="l00036"></a>00036 <span class="preprocessor"></span><span class="preprocessor">#define RERANKER_MIRA_STYLE_MODEL_H_</span>
<a name="l00037"></a>00037 <span class="preprocessor"></span>
<a name="l00038"></a>00038 <span class="preprocessor">#include &lt;cstdlib&gt;</span>
<a name="l00039"></a>00039 <span class="preprocessor">#include &lt;string&gt;</span>
<a name="l00040"></a>00040 
<a name="l00041"></a>00041 <span class="preprocessor">#include &quot;<a class="code" href="kernel-function_8_h.html" title="Provides the reranker::KernelFunction interface.">kernel-function.H</a>&quot;</span>
<a name="l00042"></a>00042 <span class="preprocessor">#include &quot;<a class="code" href="symbol-table_8_h.html" title="Provides the reranker::Symbols interface as well as the reranker::StaticSymbolTable implementation...">symbol-table.H</a>&quot;</span>
<a name="l00043"></a>00043 
<a name="l00044"></a>00044 <span class="preprocessor">#include &quot;<a class="code" href="perceptron-model_8_h.html" title="Provides the reranker::PerceptronModel reranker class.">perceptron-model.H</a>&quot;</span>
<a name="l00045"></a>00045 
<a name="l00046"></a><a class="code" href="mira-style-model_8_h.html#ab1e0305d452f1fdd5e92875420167df0">00046</a> <span class="preprocessor">#define DEFAULT_MIRA_CLIP 0.1</span>
<a name="l00047"></a>00047 <span class="preprocessor"></span>
<a name="l00048"></a>00048 <span class="keyword">namespace </span>reranker {
<a name="l00049"></a>00049 
<a name="l00050"></a>00050 <span class="keyword">using</span> std::string;
<a name="l00051"></a>00051 
<a name="l00057"></a><a class="code" href="classreranker_1_1_direct_loss_score_comparator.html">00057</a> <span class="keyword">class </span><a class="code" href="classreranker_1_1_direct_loss_score_comparator.html" title="A class to do &ldquo;direct loss minimization&rdquo; by considering the score of a candidate to be its raw score ...">DirectLossScoreComparator</a> : <span class="keyword">public</span> <a class="code" href="classreranker_1_1_candidate.html" title="A class to represent a candidate in a set of candidates that constitutes a training instance for a re...">Candidate</a>::Comparator {
<a name="l00058"></a>00058  <span class="keyword">public</span>:
<a name="l00064"></a><a class="code" href="classreranker_1_1_direct_loss_score_comparator.html#a5b08e69356d72470ef55af6fe4263591">00064</a>   <span class="keyword">virtual</span> <span class="keywordtype">int</span> <a class="code" href="classreranker_1_1_direct_loss_score_comparator.html#a5b08e69356d72470ef55af6fe4263591" title="Returns 0 if the two candidates&rsquo; scores are equal, less than zero if the score of c1 is less than tha...">Compare</a>(<span class="keyword">const</span> <a class="code" href="classreranker_1_1_model.html" title="Model is an interface for reranking models.">Model</a> &amp;model,
<a name="l00065"></a>00065                       <span class="keyword">const</span> <a class="code" href="classreranker_1_1_candidate.html" title="A class to represent a candidate in a set of candidates that constitutes a training instance for a re...">Candidate</a> &amp;c1, <span class="keyword">const</span> <a class="code" href="classreranker_1_1_candidate.html" title="A class to represent a candidate in a set of candidates that constitutes a training instance for a re...">Candidate</a> &amp;c2) {
<a name="l00066"></a>00066     <span class="keywordtype">double</span> score_diff = (c1.<a class="code" href="classreranker_1_1_candidate.html#a49d5bb385b20eaaef51a6987a7a230d1" title="Returns the reranker&rsquo;s score for this candidate.">score</a>() + c1.<a class="code" href="classreranker_1_1_candidate.html#a024f88c11b795a31cb8f5d1b47150701" title="Returns the loss of this candidate.">loss</a>()) - (c2.<a class="code" href="classreranker_1_1_candidate.html#a49d5bb385b20eaaef51a6987a7a230d1" title="Returns the reranker&rsquo;s score for this candidate.">score</a>() + c2.<a class="code" href="classreranker_1_1_candidate.html#a024f88c11b795a31cb8f5d1b47150701" title="Returns the loss of this candidate.">loss</a>());
<a name="l00067"></a>00067     <span class="keywordflow">return</span> score_diff == 0.0 ? 0 : (score_diff &lt; 0.0 ? -1 : 1);
<a name="l00068"></a>00068   }
<a name="l00069"></a>00069 };
<a name="l00070"></a>00070 
<a name="l00078"></a><a class="code" href="classreranker_1_1_mira_style_model.html">00078</a> <span class="keyword">class </span><a class="code" href="classreranker_1_1_mira_style_model.html" title="A subclass of PerceptronModel that differs only in the way that the ComputeStepSize method is impleme...">MiraStyleModel</a> : <span class="keyword">public</span> <a class="code" href="classreranker_1_1_perceptron_model.html" title="This class implements a perceptron model reranker.">PerceptronModel</a> {
<a name="l00079"></a>00079  <span class="keyword">public</span>:
<a name="l00080"></a><a class="code" href="classreranker_1_1_mira_style_model.html#a53fabbd4ef9cd182dbf4eee442615d61">00080</a>   <a class="code" href="classreranker_1_1_mira_style_model.html#a53fabbd4ef9cd182dbf4eee442615d61">MiraStyleModel</a>() : <a class="code" href="classreranker_1_1_perceptron_model.html" title="This class implements a perceptron model reranker.">PerceptronModel</a>(), mira_clip_(<a class="code" href="mira-style-model_8_h.html#ab1e0305d452f1fdd5e92875420167df0">DEFAULT_MIRA_CLIP</a>) { }
<a name="l00081"></a><a class="code" href="classreranker_1_1_mira_style_model.html#acc1a7b30d247f06451425810673f4d22">00081</a>   <a class="code" href="classreranker_1_1_mira_style_model.html#a53fabbd4ef9cd182dbf4eee442615d61">MiraStyleModel</a>(<span class="keyword">const</span> <span class="keywordtype">string</span> &amp;<a class="code" href="classreranker_1_1_model.html#a7360b45e4a024759cd393b376209cf3c" title="Returns the unique name for this model instance.">name</a>) : <a class="code" href="classreranker_1_1_perceptron_model.html" title="This class implements a perceptron model reranker.">PerceptronModel</a>(name),
<a name="l00082"></a>00082                                        mira_clip_(<a class="code" href="mira-style-model_8_h.html#ab1e0305d452f1fdd5e92875420167df0">DEFAULT_MIRA_CLIP</a>) { }
<a name="l00083"></a><a class="code" href="classreranker_1_1_mira_style_model.html#a3224479009947ade8e73d52cca86ac99">00083</a>   <a class="code" href="classreranker_1_1_mira_style_model.html#a53fabbd4ef9cd182dbf4eee442615d61">MiraStyleModel</a>(<span class="keyword">const</span> <span class="keywordtype">string</span> &amp;<a class="code" href="classreranker_1_1_model.html#a7360b45e4a024759cd393b376209cf3c" title="Returns the unique name for this model instance.">name</a>, <a class="code" href="classreranker_1_1_kernel_function.html" title="An interface specifying a kernel function for two FeatureVector instances.">KernelFunction</a> *kernel_fn) :
<a name="l00084"></a>00084       <a class="code" href="classreranker_1_1_perceptron_model.html" title="This class implements a perceptron model reranker.">PerceptronModel</a>(name, kernel_fn),
<a name="l00085"></a>00085       mira_clip_(<a class="code" href="mira-style-model_8_h.html#ab1e0305d452f1fdd5e92875420167df0">DEFAULT_MIRA_CLIP</a>) { }
<a name="l00086"></a><a class="code" href="classreranker_1_1_mira_style_model.html#a09103b8dd03009e7c5b1584da7b7ae94">00086</a>   <a class="code" href="classreranker_1_1_mira_style_model.html#a53fabbd4ef9cd182dbf4eee442615d61">MiraStyleModel</a>(<span class="keyword">const</span> <span class="keywordtype">string</span> &amp;<a class="code" href="classreranker_1_1_model.html#a7360b45e4a024759cd393b376209cf3c" title="Returns the unique name for this model instance.">name</a>, <a class="code" href="classreranker_1_1_kernel_function.html" title="An interface specifying a kernel function for two FeatureVector instances.">KernelFunction</a> *kernel_fn,
<a name="l00087"></a>00087                  <a class="code" href="classreranker_1_1_symbols.html" title="An interface specifying a converter from symbols (strings) to int indices.">Symbols</a> *<a class="code" href="classreranker_1_1_model.html#a736bec0b8f468285580982df181a7cd0" title="Returns the symbol table for this model.">symbols</a>) :
<a name="l00088"></a>00088       <a class="code" href="classreranker_1_1_perceptron_model.html" title="This class implements a perceptron model reranker.">PerceptronModel</a>(name, kernel_fn, symbols),
<a name="l00089"></a>00089       mira_clip_(<a class="code" href="mira-style-model_8_h.html#ab1e0305d452f1fdd5e92875420167df0">DEFAULT_MIRA_CLIP</a>) { }
<a name="l00090"></a>00090 
<a name="l00091"></a>00091 
<a name="l00112"></a><a class="code" href="classreranker_1_1_mira_style_model.html#a9a1d3a3402248cb41e99ed4226732192">00112</a>   <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classreranker_1_1_mira_style_model.html#a9a1d3a3402248cb41e99ed4226732192" title="Registers one additional variable that may be initialized when this object is constructed via Factory...">RegisterInitializers</a>(<a class="code" href="classreranker_1_1_initializers.html" title="A container for all the member initializers for a particular Factory-constructible instance...">Initializers</a> &amp;initializers) {
<a name="l00113"></a>00113     <a class="code" href="classreranker_1_1_mira_style_model.html#a9a1d3a3402248cb41e99ed4226732192" title="Registers one additional variable that may be initialized when this object is constructed via Factory...">PerceptronModel::RegisterInitializers</a>(initializers);
<a name="l00114"></a>00114     initializers.<a class="code" href="classreranker_1_1_initializers.html#a9554990729db9c5d1b85925fc3c42d91">Add</a>(<span class="stringliteral">&quot;mira_clip&quot;</span>, &amp;mira_clip_);
<a name="l00115"></a>00115   }
<a name="l00116"></a>00116 
<a name="l00119"></a><a class="code" href="classreranker_1_1_mira_style_model.html#a2936326000d35232ea7ce0945de36f14">00119</a>   <span class="keywordtype">void</span> <a class="code" href="classreranker_1_1_mira_style_model.html#a2936326000d35232ea7ce0945de36f14" title="Sets the maximum value for a step size computed by ComputeStepSize.">set_mira_clip</a>(<span class="keywordtype">double</span> mira_clip) { mira_clip_ = mira_clip; }
<a name="l00120"></a>00120 
<a name="l00125"></a><a class="code" href="classreranker_1_1_mira_style_model.html#acb71e90c7cc465436fc4f9a4d7ec7d0d">00125</a>   <span class="keyword">virtual</span> <span class="keywordtype">double</span> <a class="code" href="classreranker_1_1_mira_style_model.html#acb71e90c7cc465436fc4f9a4d7ec7d0d" title="Computes the step size for the next update, and, as a side effect, caches this value in step_size_...">ComputeStepSize</a>(
<a name="l00126"></a>00126       <span class="keyword">const</span> unordered_set&lt;int&gt; &amp;gold_features,
<a name="l00127"></a>00127       <span class="keyword">const</span> unordered_set&lt;int&gt; &amp;best_scoring_features,
<a name="l00128"></a>00128       <span class="keyword">const</span> <a class="code" href="classreranker_1_1_candidate_set.html" title="A class to hold a set of candidates, either for training or test.">CandidateSet</a> &amp;example) {
<a name="l00129"></a>00129     <a class="code" href="classreranker_1_1_feature_vector.html">FeatureVector&lt;int,double&gt;</a> vector_diff;
<a name="l00130"></a>00130     vector_diff.<a class="code" href="classreranker_1_1_feature_vector.html#aa732c2a9d4b249b652f881eb57112e1f" title="Modifies this vector so that it equals this vector plus the scaled specified subvector.">AddScaledSubvector</a>(gold_features,
<a name="l00131"></a>00131                                    example.<a class="code" href="classreranker_1_1_candidate_set.html#a30da3565fca2f14edafafce0255a35ea">GetGold</a>().<a class="code" href="classreranker_1_1_candidate.html#a741433c66a4cc4dfbb1e4b89c9c6e431" title="Returns the feature vector for this candidate.">features</a>(), 1.0);
<a name="l00132"></a>00132     vector_diff.<a class="code" href="classreranker_1_1_feature_vector.html#aa732c2a9d4b249b652f881eb57112e1f" title="Modifies this vector so that it equals this vector plus the scaled specified subvector.">AddScaledSubvector</a>(best_scoring_features,
<a name="l00133"></a>00133                                    example.<a class="code" href="classreranker_1_1_candidate_set.html#ae2d8533d6d2d3cd10a2c23a8660eefc3">GetBestScoring</a>().<a class="code" href="classreranker_1_1_candidate.html#a741433c66a4cc4dfbb1e4b89c9c6e431" title="Returns the feature vector for this candidate.">features</a>(), -1.0);
<a name="l00134"></a>00134     <span class="keywordtype">double</span> loss_weight = <a class="code" href="classreranker_1_1_model.html#a013aa52eb8693d1133a0d32740dffa5a">use_weighted_loss</a>() ? example.<a class="code" href="classreranker_1_1_candidate_set.html#a9bd2e0995871ec942b8117dc01293631" title="Returns the weight of the loss for this candidate set&rsquo;s reference.">loss_weight</a>() : 1.0;
<a name="l00135"></a>00135     <span class="keywordtype">double</span> loss_diff =
<a name="l00136"></a>00136         loss_weight *
<a name="l00137"></a>00137         (example.<a class="code" href="classreranker_1_1_candidate_set.html#ae2d8533d6d2d3cd10a2c23a8660eefc3">GetBestScoring</a>().<a class="code" href="classreranker_1_1_candidate.html#a024f88c11b795a31cb8f5d1b47150701" title="Returns the loss of this candidate.">loss</a>() - example.<a class="code" href="classreranker_1_1_candidate_set.html#a30da3565fca2f14edafafce0255a35ea">GetGold</a>().<a class="code" href="classreranker_1_1_candidate.html#a024f88c11b795a31cb8f5d1b47150701" title="Returns the loss of this candidate.">loss</a>());
<a name="l00138"></a>00138     <span class="keywordtype">double</span> score_diff =
<a name="l00139"></a>00139         example.<a class="code" href="classreranker_1_1_candidate_set.html#ae2d8533d6d2d3cd10a2c23a8660eefc3">GetBestScoring</a>().<a class="code" href="classreranker_1_1_candidate.html#a49d5bb385b20eaaef51a6987a7a230d1" title="Returns the reranker&rsquo;s score for this candidate.">score</a>() - example.<a class="code" href="classreranker_1_1_candidate_set.html#a30da3565fca2f14edafafce0255a35ea">GetGold</a>().<a class="code" href="classreranker_1_1_candidate.html#a49d5bb385b20eaaef51a6987a7a230d1" title="Returns the reranker&rsquo;s score for this candidate.">score</a>();
<a name="l00140"></a>00140     <span class="keywordtype">double</span> raw_step = (loss_diff + score_diff) / vector_diff.<a class="code" href="classreranker_1_1_feature_vector.html#a03929c2f26faf01b1406074943f99b86" title="Computes the dot product of this feature vector with the specified FeatureVector.">Dot</a>(vector_diff);
<a name="l00141"></a>00141     <a class="code" href="classreranker_1_1_perceptron_model.html#af852ec770ce5135acbf6f5db34b9d4fc" title="The last value computed by the ComputeStepSize method.">step_size_</a> = raw_step &gt; mira_clip_ ? mira_clip_ : raw_step;
<a name="l00142"></a>00142     <span class="keywordflow">return</span> <a class="code" href="classreranker_1_1_perceptron_model.html#af852ec770ce5135acbf6f5db34b9d4fc" title="The last value computed by the ComputeStepSize method.">step_size_</a>;
<a name="l00143"></a>00143   }
<a name="l00144"></a>00144  <span class="keyword">private</span>:
<a name="l00145"></a>00145   <span class="comment">// data members</span>
<a name="l00146"></a>00146   <span class="keywordtype">double</span> mira_clip_;
<a name="l00147"></a>00147 };
<a name="l00148"></a>00148 
<a name="l00149"></a>00149 }  <span class="comment">// namespace reranker</span>
<a name="l00150"></a>00150 
<a name="l00151"></a>00151 <span class="preprocessor">#endif</span>
</pre></div></div><!-- contents -->
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